G
B. Güssefeld, Kondermann, D., Schwartz, C., and Klein, R.,
“Are reflectance field renderings appropriate for optical flow evaluation?”, in
International Conference on Image Processing, ICIP 2014, 2014.
B. Güssefeld, Honauer, K., and Kondermann, D.,
“Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets”, in
Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}, 2016.
V. Gulshan, Rother, C., Criminisi, A., Blake, A., and Zisserman, A.,
“Geodesic star convexity for interactive image segmentation”, in
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 3129–3136.
C. Götz,
“Bildverarbeitungsalgorithmen in der Fluoreszenzmikroskopie”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1999.
J. - M. Gottfried, Nair, R., Meister, S., Garbe, C. S., and Kondermann, D.,
“Time of flight motion compensation revisited”, in
International Conference on Image Processing, ICIP 2014, 2014.
C. Gosch, Fundana, K., Heyden, A., and Schnörr, C.,
“View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in
Computer Vision – ECCV 2008, 2008, vol. 5302, pp. 251–263.
C. Gosch, Fundana, K., Heyden, A., and Schnörr, C.,
“View Point Tracking of Rigid Object Based on Shape Sub-Manifolds”, in
Computer Vision -- ECCV 2008, 2008, vol. 5302, p. 251--263.
Technical Report (523.17 KB) L. Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael,
“Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields”, in
Pattern Recognition, 2007, vol. 4713, pp. 224-233.
Technical Report (872.46 KB) L. Görlitz, Menze, B. H., Kelm, B. Michael, and Hamprecht, F. A.,
“Processing Spectral Data”,
Surface and Interface Analysis, vol. 41, pp. 636-644, 2009.
Technical Report (4.17 MB) B. Goldlücke, Aubry, M., Kolev, K., and Cremers, D.,
“A super-resolution framework for high-accuracy multiview reconstruction”,
Int. J. Comp. Vision, vol. 106, p. 172--191, 2014.
B. Glocker, T. Heibel, H., Navab, N., Kohli, P., and Rother, C.,
“TriangleFlow: Optical flow with triangulation-based higher-order likelihoods”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6313 LNCS, pp. 272–285.
M. Glas,
“Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2012.